Machine Learning Algorithm-Based Dating Predictions

Authors

Yuxuan Wang School of Computer and Software, Jincheng College, Sichuan University, Chengdu 611731, Sichuan, China
Ke Wang School of Computer and Software, Jincheng College, Sichuan University, Chengdu 611731, Sichuan, China
Chenxi Li School of Computer and Software, Jincheng College, Sichuan University, Chengdu 611731, Sichuan, China

DOI:

https://doi.org/10.53469/wjimt.2025.08(04).15

Keywords:

Artificial Intelligence, K-nearest Neighbor Algorithm, Decision Tree Algorithm, Machine Learning

Abstract

In this paper, we studied the relationship between frequent-flier miles obtained every year, the percentage of time spent playing video games, the number of ice cream liters consumed per week and the final friendship situation in a group of dating data, learned KNN and decision tree algorithm, and established a two-person model, and finally analyzed and validated the results. Experimental results show that KNN algorithm and decision tree algorithm are both simple and convenient classification algorithms.

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Machine Learning Algorithm-Based Dating Predictions